HUAWEI MRO-W09
Geekbench AI Score
1060
Single Precision Score
1069
Half Precision Score
1783
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 09:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI MRO-W09 |
| Model ID | HUAWEI MRO-W09 |
| Motherboard | MRO |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3331 revision 0 |
| Base Frequency | 1.55 GHz |
| Cluster 1 | 4 Cores @ 1.55 GHz |
| Cluster 2 | 3 Cores @ 2.18 GHz |
| Cluster 3 | 1 Core @ 2.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
498
92.7 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
100% |
1336
248.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1551
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2159
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2071
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
2921
3.46 IPS |
|
|
Object Detection (SP)
|
98% |
436
34.7 IPS |
|
|
Object Detection (HP)
|
98% |
510
40.6 IPS |
|
|
Object Detection (Q)
|
83% |
1135
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (Q)
|
95% |
3154
37.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2275
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2043
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2842
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3780
4.91 IPS |
|
|
Style Transfer (HP)
|
89% |
3619
4.70 IPS |
|
|
Style Transfer (Q)
|
98% |
7134
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1220
45.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1639
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
573
765.3 IPS |
|
|
Text Classification (HP)
|
99% |
577
769.9 IPS |
|
|
Text Classification (Q)
|
88% |
928
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
488
17.3 IPS |
